Online Interventions Flashcards

1
Q

OVERLAPPING CONCEPTS

A
  • mHealth (mobile) + Telehealth + apps + web-based
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2
Q

FU ET AL. (2020): DIGITAL PSYCHOLOGICAL INTERVENTIONS FOR MENTAL HEALTH PROBLEMS IN LMICs

A
  • many studies in high-income countries
  • BUT concerns about applicability of approach in LMICs
  • found 24 studies; 22 incl. in meta-analysis
  • countries = China (n = 6); Iran (n = 3); Brazil (n = 1)
  • intervention formats = websites/smartphone apps/SMS/computer
  • some incl. face-to-face & medicine
  • common theories = substance use (motivational interviewing) & others ((mindfulness) CBT)
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3
Q

SMS REMINDERS

A
  • earliest attempts at mHealth
  • rely on sending basic messages:
    1. typically 1-way messages from sender -> receiver
    2. BUT can build in inter-action between people
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4
Q

LUND ET AL. (2014): ZANZIBAR TRIAL TO IMPROVE ANTENATAL OUTCOMES

A
  • maternal/neonatal mortality = major health challenge
  • SDG target 3.1 = maternal mortality; reduce global maternal mortality ratio to <70 p/10k live births by 2030
  • SDG target 3.2 = newborn/child mortality; end preventable deaths of newborns/children <5y of age w/all countries aiming to reduce neonatal morality & under-5 mortality by 2030
  • ANC access/use can improve such outcomes; low lvls of ANC care in sub-Saharan Africa & decreasing (50% = 1990; 46% = 2010)
  • aim = 4 ANC visits at least
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5
Q

LUND ET AL. (2014): WIRED MOTHERS INTERVENTIONS

A
  • SMS unidirectional messages:
    1. text messages according to women’s gestational age throughout pregnancy until 6 weeks after delivery to encourage attendence to routine antenatal care/skilled delivery attendence/postnatal care
    2. SMSes spread out at start; more intensive care later
    3. sent to either woman/bf/husband if she didn’t have phone
  • mobile phone vouchers to call midwife
    1. small amount of money to call -> call back
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6
Q

SMS APPROACH: LIMITATIONS

A
  1. assumptions that key drivers = ANC access to knowledge/remembering/individual factors
  2. weaknesses:
    - access to cellphones (& distribution)
    - other key drivers of limited ANC not addressed (ie. travel costs)
    - extent to which issues cluster together (ie. limited ANC attendence may indicate multiple other issues)
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7
Q

DE FILLIPPO ET AL. (2023)

A
  • effects of digital chatbot on gender beliefs/exposure to IPV among young women in SA
  • lack of interaction = weakness of SMSes
  • IPV prevention interventions = limited reach
    CHATBOTS
  • interactive digital intervention
  • provide beh specific/responsive info
  • reach = potentially huge
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8
Q

DE FILLIPPO ET AL. (2023): CHATTYCUZ

A
  • recruited women via Facebook
  • intervention delivered via Whatsapp
  • South Africans 18-24y
  • individually randomised controlled trial (n = 19,643)
  • 3 month follow up on gender attitudes & violence experience
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9
Q

DE FILLIPPO ET AL. (2023): CHATTYCUZ FORMATS

A

GAMIFIED
- simple symbolic rewards to guide/motivate users through interactions
- provides critical feedback & reflection space on power in relationships/skill practice/health communication/planning for safety
NARRATIVE
- short WhatsApp messages/voicenotes etc. to create story of Sindiswa
- summarises dilemmas/reflections
- made to feel like trusted friend

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10
Q

DE FILLIPPO ET AL. (2023): WHY DIFFERENT IMPACTS?

A
  • narrative chatbot = less directive; allowed people to reach own conclusions compared to gamified version
  • many already exposed to narrative violence stories via mass media campaigns
  • gamified = forced reflection/thinking/problem-solving
    CHALLENGES
  • additional support for people experiencing violence
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11
Q

DIGITAL DIVIDE & GENDER

A
  • OECD 2018 report; 317 million fewrer women w/access to smartphone that can access internet shaped by:
    1. affordability (aka. women less likely to work)
    2. increased divide w/more complex technology
    3. illiteracy (aka. 83% women literate compared to 91% men)
    4. social barriers (ie. family support/hinderance; increased harassment risks; male control)
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12
Q

KHARONO ET AL. (2022)

A
  • access to phones among young people
  • cross-sectional study among 14-24ys receiving HIV treatment in Nairobi, Kenya
  • 69% = access to mobile; 48% = smartphone
  • access to smartphone associated w/older age/higher education/being male
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13
Q

CLUSTERING OF HEALTH RISKS & LIMITED CELLPHONE ACCESS

A
  • implicit assumption lit (aka. mobile/online tech will reach those most at need)
  • data drawn fron ongoing survey:
    1. do you have own cellphone? if yes, can you send/receive SMSes, make/receive calls &/or get onto internet?
  • in urban informal settlements 24% young women/30% young men didn’t have functional cellphone (none/aspects not working)
  • prevalence associated negatively w/depression/anxiety/alcohol abuse/IPV/high school completion
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14
Q

FERRETTI ET AL. (2023)

A
  • what do young people have to say about digital health promotion?
  • scoping review on young people’s views
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15
Q

FERRETTI ET AL. (2023): BENEFITS

A
  • liked nicely designed interfaces & single source of health info
  • supplemental support to own attempts to change
  • ability to access own non-judgemental approaches
  • high value on connecting to others/sharing experiences/etc.
  • privacy/confidentiality
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16
Q

FERRETTI ET AL. (2023): CONCERNS

A
  • technological concerns (ie. battery life/connectivity/cost)
  • time to engage online
  • lack of personalisation
  • privacy risks
  • lack of human interaction
  • misinformation
17
Q

FERRETTI ET AL. (2023): UNLOCK DIGITAL HEALTH PROMOTION IN LMIC FOR YOUNG PEOPLE

A
  • narrative reviw of digital health promotion in LMICs
  • beyond digital divide/equitable distribution of benefits; raise range of other issues:
    1. data = harvested by large organisations for wealth creation (aka. reflects wider global health)
    2. individualised approach to health promotion; not empowerment/collective action; oft dyadic in approach
    3. pushes costs out from state/health system to individual
18
Q

FERRETTI ET AL. (2023): INCREASE DIGITAL ACCESS & LITERACY

A
  • promote local tech expertise
  • support local tech development & capacity building
  • enhance digital literacy/health education
19
Q

FERRETTI ET AL. (2023): INVOLVE END-USERS

A
  • engage users in tech co-design
  • adapt technology to culture/context
  • develop tech interventions that address community needs
20
Q

FERRETTI ET AL. (2023): DEPLOY SAFE TOOLS

A
  • protect/minimise data collection/usage to ensure privacy
  • assess tech for bias to promote fairness
  • monitor quality of info for scientific reliability
21
Q

FERRETTI ET AL. (2023): ENSURE TECH OVERSIGHT

A
  • strengthen role of oversight mechanisms
  • define minimum ethical standards
  • monitor tech value & adequacy over time
22
Q

SUMMARY

A
  • online/digital health promotion offers lots of potential benefits (ie. reach/costs)
  • challenges = numerous (ie. equity of access; risks of reinforcing divides & excluding those most at risk; etc.)
  • for small group interventions, question = can you replicate ideas/approaches in online world?